GPUImage3 - GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video and image processing using Metal

•    Swift

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GPUImage 3 is the third generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac and iOS. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, the second iteration rewritten in Swift using OpenGL to target Mac, iOS, and Linux, and now this third generation is redesigned to use Metal in place of OpenGL. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. Previous iterations of this framework wrapped OpenGL (ES), hiding much of the boilerplate code required to render images on the GPU using custom vertex and fragment shaders. This version of the framework replaces OpenGL (ES) with Metal. Largely driven by Apple's deprecation of OpenGL (ES) on their platforms in favor of Metal, it will allow for exploring performance optimizations over OpenGL and a tighter integration with Metal-based frameworks and operations.

iOS-10-Sampler - Code examples for new APIs of iOS 10.

•    Swift

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Code examples for new APIs of iOS 10. Just build with Xcode 8.

ios ios10 swift-3 swift-4 speech metal cnn image-recognition convolutional-neural-networks demo metal-performance-shaders metal-cnn uiviewpropertyanimator

glsl-optimizer - GLSL optimizer based on Mesa's GLSL compiler

•    C++

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A C++ library that takes GLSL shaders, does some GPU-independent optimizations on them and outputs GLSL or Metal source back. Optimizations are function inlining, dead code removal, copy propagation, constant folding, constant propagation, arithmetic optimizations and so on. Apparently quite a few mobile platforms are pretty bad at optimizing shaders; and unfortunately they also lack offline shader compilers. So using a GLSL optimizer offline before can make the shader run much faster on a platform like that. See performance numbers in this blog post.

shaders glsl metal cross-compiler optimizer webgl shader optimize opengl essl es opengles

razor-server - Razor is next generation provisioning software that handles bare metal hardware and virtual server provisioning

•    Ruby

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Razor is an advanced provisioning application which can deploy both bare-metal and virtual systems. It's aimed at solving the problem of how to bring new metal into a state where your existing DevOps/configuration management workflows can take it over.Newly added machines in a Razor deployment will PXE-boot from a special Razor Microkernel image, then check in, provide Razor with inventory information, and wait for further instructions. Razor will consult user-created policy rules to choose which tasks to apply to a new node, which will begin to follow the task directions, giving feedback to Razor as it completes various steps. Tasks can include steps for handoff to a DevOps system such as Puppet or to any other system capable of controlling the node (such as a vCenter server taking possession of ESX systems).

tvm - bring deep learning workloads to bare metal

•    C++

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TVM is a Tensor intermediate representation(IR) stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends. Checkout our announcement for more details.© Contributors, 2017. Licensed under an Apache-2.0 license.

compiler tensor deep-learning dsl gpu opencl metal performance rocm tvm

matchbox - Network boot and provision Container Linux clusters (e.g. etcd3, Kubernetes, more)

•    Go

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matchbox is a service that matches bare-metal machines (based on labels like MAC, UUID, etc.) to profiles that PXE boot and provision Container Linux clusters. Profiles specify the kernel/initrd, kernel arguments, iPXE config, GRUB config, Container Linux Config, or other configs a machine should use. Matchbox can be installed as a binary, RPM, container image, or deployed on a Kubernetes cluster and it provides an authenticated gRPC API for clients like Terraform.

bare-metal pxe container-linux etcd kubernetes grpc terraform-modules dnsmasq openpgp

OpenStack - Software for building Private and Public Clouds

•    Python

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OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

cloud cloud-computing datacenter iaas infrastructure-as-a-service cloud-management

Forge - A neural network toolkit for Metal

•    Swift

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Forge is a collection of helper code that makes it a little easier to construct deep neural networks using Apple's MPSCNN framework. Conversion functions. MPSCNN uses MPSImages and MTLTextures for everything, often using 16-bit floats. But you probably want to work with Swift [Float] arrays. Forge's conversion functions make it easy to work with Metal images and textures.

metal deep-learning deep-neural-networks neural-network ios mobilenets machine-learning

The-Forge - The Forge Cross-Platform Rendering Framework PC, Linux, Ray Tracing, macOS / iOS, Android, XBOX, PS4

•    C++

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The intended usage of The Forge is to enable developers to quickly build their own game engines. The Forge can provide the rendering layer for custom next-gen game engines. Added a unified input system based on Gainput to all platforms (https://github.com/jkuhlmann/gainput). The new input system substantially simplified input management on the application level over all platforms. We also simplified the camera controller. Added also new VirtualJoystick class in UI.

directx-12 directx12 vulkan vulkan-api ios xbox ps4 android metal linux-ubuntu ray-tracing shaders visibility-buffer vulkan-sdk directx

Kong - The Microservice API Gateway

•    Lua

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Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway, API Middleware or in some cases Service Mesh). Backed by the battle-tested NGINX with a focus on high performance, Kong was made available as an open-source platform in 2015. Under active development, Kong is used in production at thousands of organizations from startups, Global 5000 and Government organizations.

api-gateway nginx luajit microservices api-management serverless apis iot consul docker reverse-proxy service-mesh cloud-native microservice devops-tools devops

resize - Pure golang image resizing

•    Go

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Image resizing for the Go programming language with common interpolation methods.Which of these methods gives the best results depends on your use case.

image-processing go-library

infrakit - A toolkit for creating and managing declarative, self-healing infrastructure.

•    Go

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InfraKit is a toolkit for infrastructure orchestration. With an emphasis on immutable infrastructure, it breaks down infrastructure automation and management processes into small, pluggable components. These components work together to actively ensure the infrastructure state matches the user's specifications. InfraKit therefore provides infrastructure support for higher-level container orchestration systems and can make your infrastructure self-managing and self-healing. In this video, InfraKit was used to build a custom linux operating system (based on linuxkit). We then deployed a cluster of virtual machine instances on a local Mac laptop using the Mac Xhyve hypervisor (HyperKit). A cluster of 3 servers booted up in seconds. Later, after the custom OS image has been updated with a new public key, InfraKit detects the change and orchestrates a rolling update of the nodes. We then deploy the same OS image to a bare-metal ARM server running on Packet.net, where the server uses custom ipxe boot directly from the localhost. It demonstrates some of the key concepts and components in InfraKit and shows how InfraKit can be used to implement an integrated workflow from custom OS image creation to cluster deployment and Day N management. The entire demo is published as a playbook, and you can create your own playbooks too.

infrastructure infrastructure-management provisioning cluster autoscaling-groups cloud docker swarm

labelImg - :metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

•    Python

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LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface.

python2 python3 annotations tools imagenet deep-learning detection recognition image-classification

deploykit - A toolkit for creating and managing declarative, self-healing infrastructure.

•    Go

---

InfraKit is a toolkit for infrastructure orchestration. With an emphasis on immutable infrastructure, it breaks down infrastructure automation and management processes into small, pluggable components. These components work together to actively ensure the infrastructure state matches the user's specifications. InfraKit therefore provides infrastructure support for higher-level container orchestration systems and can make your infrastructure self-managing and self-healing. In this video, InfraKit was used to build a custom linux operating system (based on linuxkit). We then deployed a cluster of virtual machine instances on a local Mac laptop using the Mac Xhyve hypervisor (HyperKit). A cluster of 3 servers booted up in seconds. Later, after the custom OS image has been updated with a new public key, InfraKit detects the change and orchestrates a rolling update of the nodes. We then deploy the same OS image to a bare-metal ARM server running on Packet.net, where the server uses custom ipxe boot directly from the localhost. It demonstrates some of the key concepts and components in InfraKit and shows how InfraKit can be used to implement an integrated workflow from custom OS image creation to cluster deployment and Day N management. The entire demo is published as a playbook, and you can create your own playbooks too.

infrastructure infrastructure-management provisioning cluster autoscaling-groups cloud docker swarm

falcon - Falcon is a bare-metal Python web API framework for building high-performance microservices, app backends, and higher-level frameworks

•    Python

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Falcon is a reliable, high-performance Python web framework for building large-scale app backends and microservices. It encourages the REST architectural style, and tries to do as little as possible while remaining highly effective. Falcon apps work with any WSGI server, and run like a champ under CPython 2.7, CPython 3.4+, PyPy2.7, and PyPy3.5.

framework rest microservices web api http

goliath - Goliath is a non-blocking Ruby web server framework

•    Ruby

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Goliath is an open source version of the non-blocking (asynchronous) Ruby web server framework. It is a lightweight framework designed to meet the following goals: bare metal performance, Rack API and middleware support, simple configuration, fully asynchronous processing, and readable and maintainable code (read: no callbacks). The framework is powered by an EventMachine reactor, a high-performance HTTP parser and Ruby 1.9+ runtime. The one major advantage Goliath has over other asynchronous frameworks is the fact that by leveraging Ruby fibers introduced in Ruby 1.9+, it can untangle the complicated callback-based code into a format we are all familiar and comfortable with: linear execution, which leads to more maintainable and readable code.

hpat - A compiler-based big data framework in Python

•    Python

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High Performance Analytics Toolkit (HPAT) scales analytics/ML codes in Python to bare-metal cluster/cloud performance automatically. It compiles a subset of Python (Pandas/Numpy) to efficient parallel binaries with MPI, requiring only minimal code changes. HPAT is orders of magnitude faster than alternatives like Apache Spark. HPAT's documentation can be found here.

big-data parallel-computing compilers machine-learning numpy pandas

lilliput - Resize images and animated GIFs in Go

•    C++

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lilliput resizes images in Go. Lilliput relies on mature, high-performance C libraries to do most of the work of decompressing, resizing and compressing images. It aims to do as little memory allocation as possible and especially not to create garbage in Go. As a result, it is suitable for very high throughput image resizing services.

resize-images gif cgo images imageops image resized-images thumbnail image-resizer crop jpeg png webp

Sharp - High performance Node.js image processing

•    Javascript

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The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.

webp image-processing jpeg png nodejs tiff svg libvips exif icc image performance crop resize overlay gif dzi thumbnail embed thumbnail-service api rest-api

FlexibleImage - A simple way to play with the image!

•    Swift

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FlexibleImage is implemented with the hope that anyone could easily develop an app that provides features such as Camera Filter and Theme. When you write code in the "Method Chaining" style, the effect is applied in the appropriate order. You may want to see Examples section first if you'd like to see the actual code.

filter playground image-processing watchos tvos ios metal